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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - distilabel
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+ - dpo
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+ - rlaif
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+ - rlhf
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+ - mlx
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+ datasets:
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+ - argilla/distilabel-intel-orca-dpo-pairs
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+ ---
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+
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+ # mlx-community/distilabeled-Hermes-2.5-Mistral-7B-4bit-mlx
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+ This model was converted to MLX format from [`argilla/distilabeled-Hermes-2.5-Mistral-7B`]().
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+ Refer to the [original model card](https://huggingface.co/argilla/distilabeled-Hermes-2.5-Mistral-7B) for more details on the model.
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/distilabeled-Hermes-2.5-Mistral-7B-4bit-mlx")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
config.json ADDED
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "MistralForCausalLM"
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+ ],
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+ "_name_or_path": "/Users/def_init_/.cache/huggingface/hub/models--argilla--distilabeled-Hermes-2.5-Mistral-7B/snapshots/a93afef4de45dcb28459e3f8c263779efe0c1fbc",
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+ "transformers_version": "4.36.2",
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+ "model_type": "mistral",
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 4
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+ }
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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